Literature DB >> 32503920

Nuclease-mediated depletion biases in ribosome footprint profiling libraries.

Boris Zinshteyn1, Jamie R Wangen2, Boyang Hua2, Rachel Green2.   

Abstract

Ribosome footprint profiling is a high throughput sequencing based technique that provides detailed and global views of translation in living cells. An essential part of this technology is removal of unwanted, normally very abundant, ribosomal RNA sequences that dominate libraries and increase sequencing costs. The most effective commercial solution (Ribo-Zero) has been discontinued as a standalone product and a number of new, experimentally distinct commercial applications have emerged on the market. Here we evaluated several commercially available alternatives designed for RNA-seq of human samples and find them generally unsuitable for ribosome footprint profiling. We instead recommend the use of custom-designed biotinylated oligos, which were widely used in early ribosome profiling studies. Importantly, we warn that depletion solutions based on targeted nuclease cleavage significantly perturb the high-resolution information that can be derived from the data, and thus do not recommend their use for any applications that require precise determination of the ends of RNA fragments. Published by Cold Spring Harbor Laboratory Press for the RNA Society.

Entities:  

Keywords:  RNA-seq; Ribo-Zero; rRNA depletion; ribo-seq; ribosome profiling

Year:  2020        PMID: 32503920     DOI: 10.1261/rna.075523.120

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  11 in total

Review 1.  Selective footprinting of 40S and 80S ribosome subpopulations (Sel-TCP-seq) to study translation and its control.

Authors:  Susan Wagner; Jonathan Bohlen; Anna Herrmannova; Jan Jelínek; Thomas Preiss; Leoš Shivaya Valášek; Aurelio A Teleman
Journal:  Nat Protoc       Date:  2022-07-22       Impact factor: 17.021

2.  Conversion of Ribosome-Protected mRNA to DNA and Deep Sequencing for Ribosome Profiling in Haloferax volcanii.

Authors:  Diego Rivera Gelsinger; Emma Dallon; Jocelyne DiRuggiero
Journal:  Methods Mol Biol       Date:  2022

Review 3.  Simultaneous ribosome profiling of hundreds of microbes from the human microbiome.

Authors:  Brayon J Fremin; Cosmos Nicolaou; Ami S Bhatt
Journal:  Nat Protoc       Date:  2021-08-11       Impact factor: 13.491

Review 4.  Best practices to ensure robust investigation of circular RNAs: pitfalls and tips.

Authors:  Samantha Dodbele; Nebibe Mutlu; Jeremy E Wilusz
Journal:  EMBO Rep       Date:  2021-02-25       Impact factor: 8.807

5.  Identifying Small Open Reading Frames in Prokaryotes with Ribosome Profiling.

Authors:  Nora Vazquez-Laslop; Cynthia M Sharma; Alexander Mankin; Allen R Buskirk
Journal:  J Bacteriol       Date:  2021-08-02       Impact factor: 3.476

6.  Optimized design of antisense oligomers for targeted rRNA depletion.

Authors:  Wesley A Phelps; Anne E Carlson; Miler T Lee
Journal:  Nucleic Acids Res       Date:  2021-01-11       Impact factor: 16.971

7.  Comparison of rRNA depletion methods for efficient bacterial mRNA sequencing.

Authors:  Anika Wahl; Christopher Huptas; Klaus Neuhaus
Journal:  Sci Rep       Date:  2022-04-06       Impact factor: 4.379

8.  Identifying ribosome heterogeneity using ribosome profiling.

Authors:  Ferhat Alkan; Oscar G Wilkins; Santiago Hernández-Pérez; Sofia Ramalho; Joana Silva; Jernej Ule; William J Faller
Journal:  Nucleic Acids Res       Date:  2022-09-09       Impact factor: 19.160

9.  RiboRid: A low cost, advanced, and ultra-efficient method to remove ribosomal RNA for bacterial transcriptomics.

Authors:  Donghui Choe; Richard Szubin; Saugat Poudel; Anand Sastry; Yoseb Song; Yongjae Lee; Suhyung Cho; Bernhard Palsson; Byung-Kwan Cho
Journal:  PLoS Genet       Date:  2021-09-27       Impact factor: 5.917

10.  TERA-Seq: true end-to-end sequencing of native RNA molecules for transcriptome characterization.

Authors:  Fadia Ibrahim; Jan Oppelt; Manolis Maragkakis; Zissimos Mourelatos
Journal:  Nucleic Acids Res       Date:  2021-11-18       Impact factor: 16.971

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